{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:4GTGARUONHKFKE372NOQ64PYMS","short_pith_number":"pith:4GTGARUO","canonical_record":{"source":{"id":"2602.16990","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-02-19T01:29:50Z","cross_cats_sorted":["cs.CE"],"title_canon_sha256":"c5a3d7e0367b67c8e0bf6afc0c9a14e2a82462a6bb1a620232f214a671d0ed91","abstract_canon_sha256":"34fe3cb88baca2eda512bd45c5973182ddb061839e91edc9a32b0a1863d67a4f"},"schema_version":"1.0"},"canonical_sha256":"e1a660468e69d455137fd35d0f71f864a501bf68cccf5e3e9b5045c382f025ec","source":{"kind":"arxiv","id":"2602.16990","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.16990","created_at":"2026-05-20T00:04:26Z"},{"alias_kind":"arxiv_version","alias_value":"2602.16990v2","created_at":"2026-05-20T00:04:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.16990","created_at":"2026-05-20T00:04:26Z"},{"alias_kind":"pith_short_12","alias_value":"4GTGARUONHKF","created_at":"2026-05-20T00:04:26Z"},{"alias_kind":"pith_short_16","alias_value":"4GTGARUONHKFKE37","created_at":"2026-05-20T00:04:26Z"},{"alias_kind":"pith_short_8","alias_value":"4GTGARUO","created_at":"2026-05-20T00:04:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:4GTGARUONHKFKE372NOQ64PYMS","target":"record","payload":{"canonical_record":{"source":{"id":"2602.16990","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-02-19T01:29:50Z","cross_cats_sorted":["cs.CE"],"title_canon_sha256":"c5a3d7e0367b67c8e0bf6afc0c9a14e2a82462a6bb1a620232f214a671d0ed91","abstract_canon_sha256":"34fe3cb88baca2eda512bd45c5973182ddb061839e91edc9a32b0a1863d67a4f"},"schema_version":"1.0"},"canonical_sha256":"e1a660468e69d455137fd35d0f71f864a501bf68cccf5e3e9b5045c382f025ec","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:04:26.031483Z","signature_b64":"vQaAijTDgre5FUXrxohL04tOLuOkm83FP+NBNNJleyK4pzseO40QzlTrIoPFBq0VSGYWJf8naKsun5DveblrBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e1a660468e69d455137fd35d0f71f864a501bf68cccf5e3e9b5045c382f025ec","last_reissued_at":"2026-05-20T00:04:26.030384Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:04:26.030384Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2602.16990","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-20T00:04:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tTTb5DZYQRNRVZ5h2/FDK54xLsqrbzkFgma7zQrVRl2QZjlCbK+Pc7F1j2vzxQ+0PGtVHIL0OBDkSvTNXZk3DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T04:59:53.818613Z"},"content_sha256":"e6c2072a34d501e5a67a0806c58ccef7f0d706c53e2dbe317b2b14cb88944bfd","schema_version":"1.0","event_id":"sha256:e6c2072a34d501e5a67a0806c58ccef7f0d706c53e2dbe317b2b14cb88944bfd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:4GTGARUONHKFKE372NOQ64PYMS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Conv-FinRe: A Conversational and Longitudinal Benchmark for Utility-Grounded Financial Recommendation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CE"],"primary_cat":"cs.AI","authors_text":"Dongji Feng, Fengran Mo, Jian-Yun Nie, Jimin Huang, Lingfei Qian, Rosie Guo, Vincent Jim Zhang, Xue Liu, Xueqing Peng, Yankai Chen, Yan Wang, Yi Han, Yueru He, Zhuohan Xie","submitted_at":"2026-02-19T01:29:50Z","abstract_excerpt":"Most recommendation benchmarks evaluate how well a model imitates user behavior. In financial advisory, however, observed actions can be noisy or short-sighted under market volatility and may conflict with a user's long-term goals. Treating what users chose as the sole ground truth, therefore, conflates behavioral imitation with decision quality. We introduce Conv-FinRe, a conversational and longitudinal benchmark for stock recommendation that evaluates LLMs beyond behavior matching. Given an onboarding interview, step-wise market context, and advisory dialogues, models must generate rankings "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.16990","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2602.16990/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-20T00:04:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+9aj+SgVVDjbDqyMxVmL2dWWow3c6cVrviycDcVbOnlYIEXlkIdoqdsEvepNVfhLCn/YtSiVBub8x09536pfAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T04:59:53.819357Z"},"content_sha256":"65b306217f9056bf1ae77a9121e01ffb0da733312f8c0adea847a66b560e0347","schema_version":"1.0","event_id":"sha256:65b306217f9056bf1ae77a9121e01ffb0da733312f8c0adea847a66b560e0347"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4GTGARUONHKFKE372NOQ64PYMS/bundle.json","state_url":"https://pith.science/pith/4GTGARUONHKFKE372NOQ64PYMS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4GTGARUONHKFKE372NOQ64PYMS/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-25T04:59:53Z","links":{"resolver":"https://pith.science/pith/4GTGARUONHKFKE372NOQ64PYMS","bundle":"https://pith.science/pith/4GTGARUONHKFKE372NOQ64PYMS/bundle.json","state":"https://pith.science/pith/4GTGARUONHKFKE372NOQ64PYMS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4GTGARUONHKFKE372NOQ64PYMS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:4GTGARUONHKFKE372NOQ64PYMS","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"34fe3cb88baca2eda512bd45c5973182ddb061839e91edc9a32b0a1863d67a4f","cross_cats_sorted":["cs.CE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-02-19T01:29:50Z","title_canon_sha256":"c5a3d7e0367b67c8e0bf6afc0c9a14e2a82462a6bb1a620232f214a671d0ed91"},"schema_version":"1.0","source":{"id":"2602.16990","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.16990","created_at":"2026-05-20T00:04:26Z"},{"alias_kind":"arxiv_version","alias_value":"2602.16990v2","created_at":"2026-05-20T00:04:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.16990","created_at":"2026-05-20T00:04:26Z"},{"alias_kind":"pith_short_12","alias_value":"4GTGARUONHKF","created_at":"2026-05-20T00:04:26Z"},{"alias_kind":"pith_short_16","alias_value":"4GTGARUONHKFKE37","created_at":"2026-05-20T00:04:26Z"},{"alias_kind":"pith_short_8","alias_value":"4GTGARUO","created_at":"2026-05-20T00:04:26Z"}],"graph_snapshots":[{"event_id":"sha256:65b306217f9056bf1ae77a9121e01ffb0da733312f8c0adea847a66b560e0347","target":"graph","created_at":"2026-05-20T00:04:26Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2602.16990/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Most recommendation benchmarks evaluate how well a model imitates user behavior. In financial advisory, however, observed actions can be noisy or short-sighted under market volatility and may conflict with a user's long-term goals. Treating what users chose as the sole ground truth, therefore, conflates behavioral imitation with decision quality. We introduce Conv-FinRe, a conversational and longitudinal benchmark for stock recommendation that evaluates LLMs beyond behavior matching. Given an onboarding interview, step-wise market context, and advisory dialogues, models must generate rankings ","authors_text":"Dongji Feng, Fengran Mo, Jian-Yun Nie, Jimin Huang, Lingfei Qian, Rosie Guo, Vincent Jim Zhang, Xue Liu, Xueqing Peng, Yankai Chen, Yan Wang, Yi Han, Yueru He, Zhuohan Xie","cross_cats":["cs.CE"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-02-19T01:29:50Z","title":"Conv-FinRe: A Conversational and Longitudinal Benchmark for Utility-Grounded Financial Recommendation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.16990","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:e6c2072a34d501e5a67a0806c58ccef7f0d706c53e2dbe317b2b14cb88944bfd","target":"record","created_at":"2026-05-20T00:04:26Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"34fe3cb88baca2eda512bd45c5973182ddb061839e91edc9a32b0a1863d67a4f","cross_cats_sorted":["cs.CE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-02-19T01:29:50Z","title_canon_sha256":"c5a3d7e0367b67c8e0bf6afc0c9a14e2a82462a6bb1a620232f214a671d0ed91"},"schema_version":"1.0","source":{"id":"2602.16990","kind":"arxiv","version":2}},"canonical_sha256":"e1a660468e69d455137fd35d0f71f864a501bf68cccf5e3e9b5045c382f025ec","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e1a660468e69d455137fd35d0f71f864a501bf68cccf5e3e9b5045c382f025ec","first_computed_at":"2026-05-20T00:04:26.030384Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:04:26.030384Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vQaAijTDgre5FUXrxohL04tOLuOkm83FP+NBNNJleyK4pzseO40QzlTrIoPFBq0VSGYWJf8naKsun5DveblrBQ==","signature_status":"signed_v1","signed_at":"2026-05-20T00:04:26.031483Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.16990","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e6c2072a34d501e5a67a0806c58ccef7f0d706c53e2dbe317b2b14cb88944bfd","sha256:65b306217f9056bf1ae77a9121e01ffb0da733312f8c0adea847a66b560e0347"],"state_sha256":"069afe380c51eb0f02461acb7d5d7b2ac00d0d3fe96fcb264ebdaae5f62c16f8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"t8rcLayrXYC1GAdluC4LpfOpTC7wmiVP23npqj+XM5cvMLNGGu9rf6PCGzrDp8FFpBNfCvhmSU50wjE9C0zsCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T04:59:53.823477Z","bundle_sha256":"50095017133e2f63e995c2fef4ce1980fde0171bdee387eb863a6f84fb9f5adb"}}